At a Glance
- Tasks: Drive innovation in scientific computing and statistical analysis for healthcare solutions.
- Company: Join Johnson & Johnson, a leader in healthcare innovation and inclusivity.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact on health by advancing cutting-edge technologies in drug development.
- Qualifications: PhD or Master's in a quantitative field with software/ML engineering experience.
Job Sub Function
Biostatistics
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function
Data Analytics & Computational Sciences
Job Sub Function
Biostatistics
Job Category
Scientific/Technology
All Job Posting Locations
Beerse, Antwerp, Belgium, High Wycombe, Buckinghamshire, United Kingdom, Hyderabad, Andhra Pradesh, India, Leiden, South Holland, Netherlands, Mumbai, India
Job Description
Senior Scientist, Scientific Computing
Statistics & Decision Sciences (SDS) is a function of Quantitative Sciences & Clinical Pharmacology. SDS comprises of Cardiopulmonary, Oncology, Immunology, Neuroscience, Medical Affairs, Post Approval Lifecycle Management, Discovery & Manufacturing Statistics, Statistical Modeling & Methodology & Consulting and Strategic Business & Computing Operations.
The SBCO organization applies deep understanding of drug development, statistics, scientific computing, business operations, and enabling technologies to deliver scalable, compliant, and high-value solutions for SDS. SBCO comprises three integrated units: Strategy & Business Operations (SBO), Scientific Computing Operations (SCO), and the SDS Centralized Administrative Network (SCAN).
Position Summary
The Senior Scientist, Scientific Computing provides technical and scientific computing support to advance statistical and strategic innovation, automation, and reproducibility across Statistics & Decision Sciences (SDS). The role helps ensure that platforms, tools, and data practices are robust, compliant, and aligned to business and regulatory needs.
The Senior Scientist, Scientific Computing, provides technical support and delivery for scientific computing and business capabilities within Statistics & Decision Sciences (SDS). The role collaborates with key stakeholders to drive and develop fit-for-purpose, compliant, and scalable solutions. Responsibilities include support for evaluation, integration, and lifecycle management of statistical and business analytical tools; establishing and maintaining validated data storage, archival, and data-flow strategies and effective training, adoption, and collaboration practices across SDS.
Principal Responsibilities
- Exhibits effective software expertise through applied experience, grounded in scientific and business principles with a proven record of effectively supporting strategic efforts. Demonstrates competence in utilizing computational tools to analyze and visualize data for research and business objectives related to studies, experiments, trials, and processes. This includes full proficiency in relevant computational and scripting tools, including artificial intelligence (AI).
- This role goes beyond model prototyping. You will own the AI/ML layer end to end, from architecture and evaluation to the cloud infrastructure it runs on. You'll work closely with statisticians and programmers, so comfort with R/Python for statistical work and data visualization is important, not optional.
- Design and build RAG pipelines, agent workflows, and prompt/context strategies across our AI initiatives.
- Set up and maintain repositories, CI/CD pipelines, and development environments for the wider SDS team.
- Supports Scientific Software Packages, High Performance Computing (HPC) Hardware and platforms, communication tools, and standards and good practices documentation. Also supports business system and process improvement areas.
- Identifies and implements innovative tools and solutions in process automation and scientific computing domains. Identifies and implements advanced techniques to address complex project or program features. Proven ability in problem-solving and troubleshooting, including supporting strategic scenario planning, quantitative decision-making, and business support.
- Collaborates cross-functionally to identify and resolve issues. Successfully addresses business needs through enhanced insights, productivity, and efficiency. Advises management of opportunities to increase compatibility, interoperability, stability and usability of solution architecture.
- Demonstrates strong skills in building relationships across functions. Is accountable as a point of contact for a specific project or effort.
- Collaborates effectively with SDS colleagues and external partners to meet program needs. Works cross-functionally to identify and resolve issues.
- Shares knowledge within and across functions. Represents Statistics & Decision Sciences in cross-functional and intra-departmental teams or working groups pertaining to scientific or process initiatives. Builds cross-functional partnerships with internal colleagues and external partners (e.g., contractors, consultants) to achieve results for project-specific needs, focusing one enhancing communication, efficiency, and productivity.
- Supervise contractors/special assignment personnel/interns/co-ops as required.
- Exhibits strong written, oral, and interpersonal communication skills, and demonstrates proficiency in collaborating with by translating intricate technical concepts for drug research and development partners. Effectively communicates findings to program stakeholders and broader non-technical audiences with visuals and storytelling.
- Takes responsibility and accountability for the quality and timeliness of project deliverables as assessed by stakeholders from respective projects or programs. Follows best practices for Software Engineering, Project Management, and Data Integrity. Aligns with partners following best practices for Good Clinical, Manufacturing, Laboratory, or other pertinent GxP activities and requirements. Complies with organization and company standard operating procedures in a timely fashion, such as required training and project time reporting. Ensures that documents, programs, and all other deliverables are consistent and adhere to project and company standards.
- Stand up and manage MCP servers connecting AI tools to internal data sources and applications.
Qualifications
- PhD in in Computer Science, Data Science, Statistics, Computational Biology, Engineering or a related quantitative field or Master’s with 3 to 5 years of software/ML engineering experience, including 1 to 2+ years working hands‑on with LLMs in production.
Technical Skills
- Strong Python; experience building production services, not just notebooks
- Working proficiency in R programming(or strong willingness/ability to read and work with R)
- Hands-on experience with LLM APIs (Anthropic, OpenAI, or similar) and at least one agent framework (e.g. LangGraph, LlamaIndex, or a custom framework)
- Databases
- Understanding of LLM failure modes (hallucination, context drift, prompt injection) and mitigation strategies.
- Hands-on AWS (S3, EC2, GPU instances) or Azure equivalent, including basic IAM/security and cost management
- Git-based workflows, CI/CD, containerization (Docker)
- Experience setting up MCP servers or comparable integration/orchestration tooling.
Required Skills
Preferred Skills
- Advanced Analytics
- Biostatistics
- Clinical Trials
- Collaboration
- Consulting
- Critical Thinking
- Data Privacy Standards
- Data Quality
- Data Savvy
- Digital Fluency
- Good Clinical Practice (GCP)
- Quality Assurance (QA)
- Report Writing
- Standard Operating Procedure (SOP)
- Statistical Analysis Systems (SAS) Programming
- Statistics
- Systems Development
- Technologically Savvy
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Senior Scientist, Scientific Computing in High Wycombe employer: Johnson & Johnson Innovative Medicine
At Johnson & Johnson Innovative Medicine, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture in High Wycombe. Our commitment to employee growth is evident through comprehensive training programs and mentorship opportunities, ensuring that our team members thrive in their careers while contributing to groundbreaking clinical trials. With competitive benefits and a focus on work-life balance, we offer a rewarding environment for those looking to make a meaningful impact in the pharmaceutical industry.
Contact Details:
Johnson & Johnson Innovative Medicine Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Scientist, Scientific Computing in High Wycombe
✨Get Involved in Research Communities
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✨Utilise Professional Networks
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We think you need these skills to ace Senior Scientist, Scientific Computing in High Wycombe
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Johnson & Johnson Innovative Medicine. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Johnson & Johnson Innovative Medicine. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Johnson & Johnson Innovative Medicine
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
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Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Johnson & Johnson Innovative Medicine. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Johnson & Johnson Innovative Medicine to drive research projects forward.
